model based systems engineer

<div>Title:
Advanced Aerospace Model Based Systems Engineer (MBSE)
Belong. Connect. Grow. with KBR!
KBR&rsquo;s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.
KBR&rsquo;s Digital Research, Engineering, Acquisition, and Materiel Management Team (DREAMM Team) provides comprehensive Systems Engineering, Digital Engineering, Model Based Systems Engineering, Modeling &amp; Simulation, Data Analysis, DevSecOps, technical solution development, and training capabilities, serving our DoD customers. With a wide range of services and contract options, the DREAMM Team is dedicated to ensuring excellence in every aspect of our customer&rsquo;s Digital Transformation journey, including strategy and implementation plan development, technical execution, and training and development courses. This commitment ensures smooth and manageable design, implementation, test and deployment of technical solutions, streamlined processes, and digital methods and approaches.
Why Join Us?<ul><li>
Innovative Projects: KBR&rsquo;s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.</li><li>
Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.</li><li>
Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.</li></ul>
Job Summary
Are you ready to embark on a journey where your expertise meets meaningful impact? As an Advanced Aerospace Model-Based Systems Engineer, you&rsquo;ll engage in system design, requirements analysis, and engineering challenges related to modernizing and sustaining advanced aircraft and systems for Air Force Life Cycle Management Center (AFLCMC) programs. Join our team at KBR supporting AFLCMC and be at the forefront of modeling, designing, and engineering near-term and future advanced aircraft capabilities, contributing to our ongoing success. You&rsquo;ll collaborate closely with a diverse team, fostering innovation, disciplined problem-solving, and excellence at every step. If you&rsquo;re ready to make a difference and thrive in a dynamic environment, apply now and let&rsquo;s shape the future together!
Key Responsibilities:<ul><li>
Analyze, model, design, and engineer current aircraft capabilities and future upgrades for AFLCMC programs.</li><li>
Design, build, and apply digital methods to the acquisition process to enhance future aircraft capabilities.</li><li>
Manage system models using Systems Modeling Language (SysML) and tools such as Cameo System Modeler.</li><li>
Lead the implementation of large-scale system models across multiple organizations.</li><li>
Modify and update system models to reflect current acquisition strategies, technical designs, and system decisions</li><li>
Define system use cases, activities, and system behaviors.</li><li>
Support management of models and derived work products consistent with project configuration and data management processes and standards.</li><li>
Develop scripts and/or applications to implement needed features and UI elements enabling seamless data integration, better usability, and streamlined accessibility.</li><li>
Collaborate with systems engineering leads as well as domain and discipline subject matter experts (SMEs) to tailor MBSE to project scope and cost and schedule constraints.</li><li>
Translate processes from traditional document-based system engineering efforts to delivery of model-based work products to customers, including the generation of acquisition documents</li><li>
Work in a fast-paced environment, coordinating across diverse teams to ensure efficient development and integration of systems.</li></ul>
Work Environment:<ul><li>
Location: Hybrid</li><li>
Travel Requirements: Minimal 0-20%</li><li>
Working Hours: Standard</li></ul>
Required Qualifications:<ul><li>
BS Degree in Engineering or applied science</li><li>
At least 10 years of related system modeling experience</li><li>
Experience with SysML and tools like Cameo System Modeler/MagicDraw.</li><li>
Expertise in modeling complex systems and managing enterprise models.</li><li>
Ability to work in a collaborative, high-paced environment.</li><li>
Ability to obtain and maintain DoD secret Clearance</li></ul>
Desired:<ul><li>
MS Degree in technical engineering field.</li><li>
Software development skills in Python, C, and/or C++</li><li>
OCSMP-MBF Certification (Object Management Group - Certified Systems Modeling Professional &ndash; Model Builder &ndash; Fundamental) or the ability to obtain it within 12 months of employment.</li><li>
Experience with aircraft engineering or large-scale system modeling.</li><li>
Expertise in modeling complex systems and managing enterprise models.</li><li>
DoD weapon systems engineering and acquisition experience</li></ul>
Ready to Make a Difference?
If you&rsquo;re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&amp;D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Belong, Connect and Grow at KBR 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</div>

Advanced Aerospace Model Based Systems Engineer (MBSE)

BOEING

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is seeking a motivated Systems Engineer to support the MQ-25 Program located in Berkeley, MO.The selected candidate will assist in systems of systems integration and verification efforts, serving as a technical resource.Boeing is advancing the future of unmanned aircraft carrier aviation for the U.S. Navy with the MQ-25. This unmanned aircraft system is designed to enhance the Navy's capabilities by providing robust refueling support, thereby extending the operational range of the carrier air wing. Our teams are currently hiring for a broad range of experience levels including Associate and Experienced Level System Engineers. Position Responsibilities<ul><li>Assist in facilitating and contributing to system of systems integration and verification activities.</li><li>Contribute to the development and execution of system verification testing within the Hardware in the Loop (HITL) lab environment.</li><li>Support coordination of interface exchanges between the Air Vehicle and Ground Control Station to identify potential gaps.</li><li>Collaborate with technical leads, other program Integrated Product Teams (IPTs), suppliers, and the U.S. Navy customer as needed.</li><li>Maintain working-level relationships with customers on the project.</li><li>Help manage and ensure deliverables are submitted on time.</li><li>Contribute to defining plans for risk mitigation and identifying opportunities.</li><li>Compare actual results to baseline plans to assess project performance, efficiencies, productivity, and lessons learned.</li><li>Provide technical, business, and integration support for the development and execution of project or team plans. </li></ul>This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment.<ul><li> An interim and/or final U.S. Secret Clearance Post-Start is required.</li></ul>Basic Qualifications (Required Skills/Experience)<ul><li>Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. </li><li>2+ years of work-related experience with a Bachelor's degree OR work related experience with a Master's degree</li><li>2+ years of experience in avionics and/or systems integration</li></ul>Preferred Qualifications <ul><li>5+ years of work-related experience with a Bachelor's OR 3+ years with a Master's degree. </li><li>2+ years in the Aerospace Industry experience</li><li>Experience in Model-Based Systems Engineering</li><li>Experience with DOORS (Dynamic Object Oriented Requirements System)</li><li>Software development experience</li><li>Experience with unmanned aerial systems</li><li>Applicants must have good communication, analytical, and organizational skills and be able to work in a team environment </li><li>Knowledge of systems engineering design concepts and techniques</li><li>Knowledge of data system design and architectures</li></ul>Typical Education/ExperienceAssociate (Level 2)Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Experienced (Level 3) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation This position offers relocation based on candidate eligibility. Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift This position is for 1st shift. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Associate Level 2: $81,600 - $110,400 Experienced Level 3: $ 97,750 - 132,250 Applications for this position will be accepted until Nov. 04, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5OjB%2fy5whkACvXr1hIec0P%2bq" width="0" height="0" />

Systems Integration Engineer (Associate or Experienced)

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

Axix Technologies

About the RoleAxix Technologies is hiring a high-potential AI Engineer Intern to work on production-grade Computer Vision, AI Agents, and end-to-end AI platforms. This role is not research-only&mdash;you&rsquo;ll build, deploy, optimize, and scale real systems used in live environments. Top performers will be offered a full-time position.Core Responsibilities<ul><li>Develop person detection &amp; tracking systems using YOLO, DeepSORT, ByteTrack</li><li>Build real-time video analytics pipelines</li><li>Design and deploy AI Agents &amp; agent workflows</li><li>Implement ML/DL model optimization (quantization, distillation, pruning)</li><li>Deploy models using OpenVINO / ONNX Runtime</li><li>Containerize services using Docker</li><li>Build microservices-based AI backends</li><li>Deploy and manage workloads on Kubernetes</li><li>Develop full-stack interfaces for AI systems (dashboards, APIs)</li><li>Integrate AI workflows using n8n automation</li></ul>Required Skills (Indeed SEO Optimized)<ul><li>Strong fundamentals in Computer Vision, ML &amp; Deep Learning</li><li>Hands-on with person detection &amp; tracking (DeepSORT, YOLO, OpenCV)</li><li>Experience with PyTorch / TensorFlow</li><li>Knowledge of AI Agents, Agent Orchestration &amp; Agent Flows</li><li>Familiarity with Cursor / AI-assisted IDEs</li><li>Experience with Docker &amp; containerized deployments</li><li>Understanding of microservices architecture</li><li>Basic working knowledge of Kubernetes (K8s)</li><li>Experience building REST APIs (FastAPI / Flask / Node.js)</li><li>Exposure to full-stack development (React/Vue + backend)</li><li>Strong Python skills (mandatory)</li></ul>Nice to Have<ul><li>MLOps basics (CI/CD, model versioning)</li><li>Edge AI or camera-based systems</li><li>LLMs, LangChain, RAG pipelines</li><li>Cloud platforms (AWS / GCP / Azure)</li></ul>What You&rsquo;ll Get<ul><li>PKR 20,000 monthly stipend</li><li>Work on enterprise-scale AI &amp; surveillance platforms</li><li>Exposure to real-time, high-load AI systems</li><li>Mentorship from senior AI &amp; systems architects</li><li>Clear career path to full-time AI Engineer</li><li>Hands-on experience with modern AI + DevOps stack</li></ul>How to ApplyEmail: careers@axixtechnologies.com WhatsApp/Call: 0300-1119405 Office: 138D1, Main Boulevard, Gulberg III, LahoreSubject: AI Engineer Intern &ndash; Computer Vision &amp; Full-StackJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

Vulcury Venture Studio and Advisors

<div><div>This is a remote position.
<div>Location: Remote (India) 
</div><div>Job Type: Full-Time or Internship-to-Hire 
</div><div>Compensation: Competitive + Performance-Based Incentives 
</div> 
<h2 class="jobSectionHeader">About Calisade Asset Management</h2> 
Calisade Asset Management is developing a next-generation research and analytics platform. We are seeking an AI/ML Engineer to help build core components of our applied machine learning stack. You&rsquo;ll work on complex problems at the intersection of natural language understanding, information extraction, and model-based reasoning.<h2 class="jobSectionHeader"> 
About the Role</h2> 
This is a hands-on engineering role where you will design, train, and deploy machine learning systems that support real-world research and decision-making workflows. You will collaborate closely with engineering and research teams to translate analytical needs into scalable AI capabilities.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2> 
<ul><li>Design, build, and train LLM-based applications</li> 
<li>Develop robust data-to-model pipelines for AI workflows</li> 
<li>Fine-tune and evaluate models for performance and reliability</li> 
<li>Prototype agentic workflows and structured automation systems</li> 
<li>Collaborate with engineering leads to integrate AI into core product workflows</li> 
</ul><div></div> 
 
 
<h3 class="jobSectionHeader">Requirements</h3><h2 class="jobSectionHeader">
Qualifications</h2> 
<ul><li>Strong Python and deep learning fundamentals</li> 
<li>Experience with transformer architectures or modern LLMs</li> 
<li>Familiarity with NLP, generative AI, or model-serving frameworks</li> 
<li>Ability to navigate ambiguous problem statements and find structured solutions</li> 
<li>Comfort iterating quickly and working independently in a fast-paced environment</li> 
</ul><div></div> 
 
 
<h3 class="jobSectionHeader">Benefits</h3>
<div><h2 class="jobSectionHeader">Why Join Us</h2> 
You&rsquo;ll be part of the Applied AI team shaping advanced capabilities in language understanding and automated reasoning. Your work will directly impact the intelligence core of our analytics platform.</div></div></div><div></div>

AI / ML Engineer (Gurugram) – Calisade Asset Management

<div><div>This is a remote position.
<div>Location: Remote (India) 
</div><div>Job Type: Full-Time or Internship-to-Hire 
</div><div>Compensation: Competitive + Performance-Based Incentives 
</div> 
<h2 class="jobSectionHeader">About Calisade Asset Management</h2> 
Calisade Asset Management is developing a next-generation research and analytics platform. We are seeking an AI/ML Engineer to help build core components of our applied machine learning stack. You&rsquo;ll work on complex problems at the intersection of natural language understanding, information extraction, and model-based reasoning.<h2 class="jobSectionHeader"> 
About the Role</h2> 
This is a hands-on engineering role where you will design, train, and deploy machine learning systems that support real-world research and decision-making workflows. You will collaborate closely with engineering and research teams to translate analytical needs into scalable AI capabilities.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2> 
<ul><li>Design, build, and train LLM-based applications</li> 
<li>Develop robust data-to-model pipelines for AI workflows</li> 
<li>Fine-tune and evaluate models for performance and reliability</li> 
<li>Prototype agentic workflows and structured automation systems</li> 
<li>Collaborate with engineering leads to integrate AI into core product workflows</li> 
</ul><div></div> 
 
 
 
 
 
 
 
<h3 class="jobSectionHeader">Requirements</h3><h2 class="jobSectionHeader">
Qualifications</h2> 
<ul><li>Strong Python and deep learning fundamentals</li> 
<li>Experience with transformer architectures or modern LLMs</li> 
<li>Familiarity with NLP, generative AI, or model-serving frameworks</li> 
<li>Ability to navigate ambiguous problem statements and find structured solutions</li> 
<li>Comfort iterating quickly and working independently in a fast-paced environment</li> 
</ul><div></div> 
 
<h3 class="jobSectionHeader">Benefits</h3>
<div><h2 class="jobSectionHeader">Why Join Us</h2> 
You&rsquo;ll be part of the Applied AI team shaping advanced capabilities in language understanding and automated reasoning. Your work will directly impact the intelligence core of our analytics platform.</div></div></div><div></div>

AI / ML Engineer (Indore) – Calisade Asset Management

<div><div>This is a remote position.
<div>Location: Remote (USA) 
</div><div>Job Type: Full-Time 
</div><div>Compensation: Competitive + Performance-Based Incentives 
</div> 
<h2 class="jobSectionHeader">About Calisade Asset Management</h2> 
Calisade Asset Management is developing a next-generation research and analytics platform. We are seeking an AI/ML Engineer to help build core components of our applied machine learning stack. You&rsquo;ll work on complex problems at the intersection of natural language understanding, information extraction, and model-based reasoning.<h2 class="jobSectionHeader"> 
About the Role</h2> 
This is a hands-on engineering role where you will design, train, and deploy machine learning systems that support real-world research and decision-making workflows. You will collaborate closely with engineering and research teams to translate analytical needs into scalable AI capabilities.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2> 
<ul><li>Design, build, and train LLM-based applications</li> 
<li>Develop robust data-to-model pipelines for AI workflows</li> 
<li>Fine-tune and evaluate models for performance and reliability</li> 
<li>Prototype agentic workflows and structured automation systems</li> 
<li>Collaborate with engineering leads to integrate AI into core product workflows</li> 
</ul><div></div> 
 
 
<h3 class="jobSectionHeader">Requirements</h3><h2 class="jobSectionHeader">
Qualifications</h2> 
<ul><li>Strong Python and deep learning fundamentals</li> 
<li>Experience with transformer architectures or modern LLMs</li> 
<li>Familiarity with NLP, generative AI, or model-serving frameworks</li> 
<li>Ability to navigate ambiguous problem statements and find structured solutions</li> 
<li>Comfort iterating quickly and working independently in a fast-paced environment</li> 
</ul><div></div> 
 
<h3 class="jobSectionHeader">Benefits</h3>
<div><h2 class="jobSectionHeader">Why Join Us</h2> 
You&rsquo;ll be part of the Applied AI team shaping advanced capabilities in language understanding and automated reasoning. Your work will directly impact the intelligence core of our analytics platform.</div></div></div><div></div>

AI / ML Engineer (USA) – Calisade Asset Management

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